University of Denver - Online Master of Science in Data Science
The University of Denver offers an online Master of Science (M.S.) in Data Science through the Daniel Felix Ritchie School of Engineering & Computer Science (Ritchie School). This cohort-based program prepares students to become data scientists through instruction in data collection, machine learning, data mining, data evaluation and interpretation, data visualization, and Python programming. The mathematically-based coursework prepares graduates to solve complex data challenges and make data-informed decisions.
The M.S. in Data Science program is open to those with varying professional and academic backgrounds; however, applicants should have strong analytical skills. Students without a background in data science or computer science are required to take three foundational bridge courses designed to provide a solid foundation in programming and mathematics. These courses cover Python programming basics, preparing students to design, create, and execute Python programs, and the portions of calculus, linear algebra, and discrete mathematics necessary for data science applications.
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The core curriculum centers on advanced Python programming skills and database organization and management, including Entity Relationship (ER) Modeling, Structured Query Language (SQL), and B-trees. Other concepts covered are parallel processing, large-scale distributed computing, data science tools, probability and statistics, data mining, machine learning, data visualization, and the design and analysis of algorithms. A capstone project allows students to synthesize their learning by defining, creating, implementing, documenting, testing, and presenting a new product to meet a data science demand through a 10-week development process.
The M.S. in Data Science comprises 48 credits for those with a computer science or programming background. These students are eligible for an Accelerated Track that can be completed in 18 months by taking two courses per term. Students who do not have a background or experience in a related field must complete 60 credits and follow a Standard Track, which can be completed in 24 months. For students who would like to take fewer courses per term, the Ritchie School offers a Decelerated Track that allows students to take one course per term.
The Ritchie School uses a learning platform that delivers live online class sessions through a face-to-face video conferencing platform. Class sizes are kept small and allow for collaborative learning and relationship-building between faculty and peers, with live chats, breakout rooms, and presentation mode. Weekly assignments, such as quizzes, videos, and recorded lectures, are discussed during the live classes. The program can be completed fully online with no required campus visits.
The University of Denver is accredited by the Higher Learning Commission (HLC) of the North Central Association.
University of Denver: Daniel Felix Ritchie School of Engineering and Computer Science
Online Master of Science in Data Science
Learn more about the online Master of Science in Data Science program - visit ritchieonline.du.edu